Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
We are seeking a Software Engineer to join the Fraud Signals engineering team at SoFi. This role will play a pivotal role in accelerating feature development for our Decisioning and Machine Learning platforms, provide robust account and transaction fraud controls, optimize fraud operations workflows, and improve our integrations with crucial third party vendors.
The ideal candidate will be a collaborative, results-oriented, and pragmatic team player who takes ownership and accountability for the quality of their work and the success of the overall product. At SoFi, we value collaboration across teams, and you will be involved in the entire product lifecycle, from ideation through building, deploying, and continual improvement. We're looking for engineers who are passionate about solving complex technical challenges, including scaling machine learning in production, and who are committed to both their own career growth and mentoring their fellow team members.
What you’ll do:
- Full SDLC:: Collaborate with cross-functional teams to design, architect, and implement end-to-end. Utilize your expertise in various programming languages, frameworks, and technologies to deliver high-quality and scalable software applications
- Back-end Development: Design and develop robust, scalable, and secure server-side applications and APIs. Work with databases and data models to manage and store information effectively. Optimize performance and maintain system stability
- Architecture and Design: Participate in architecture discussions and provide valuable insights to drive technical decisions. Ensure that software design patterns and best practices are followed throughout the development process
- Testing and Quality Assurance: Conduct thorough testing of software components, including unit testing, integration testing, and end-to-end testing, to ensure the reliability and functionality of the applications
- Continuous Improvement: Keep abreast of industry trends, best practices, and emerging technologies in software development. Advocate for process improvements and adopt new tools and technologies to enhance productivity and efficiency
- Documentation: Create and maintain technical documentation for developed software, APIs, and processes to ensure comprehensive understanding and knowledge transfer
What you’ll need:
- Bachelor’s Degree, in a technical field
- 1 year professional programming experience, ideally on a modern stack.
- Our core stack is Java/ Kotlin/ Spring / PostgreSQL. Familiarity with Java and an understanding of relational databases is a great start
- Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
- Agile Development Experience
- API and Database Design experience
- Willingness to roll up your sleeves, collaborate with others, and get stuff done
- Solid sense of responsibility; driving a project from inception to completion
- Affinity for solving problems and diving deep into the details
Nice to have:
- Experience scaling highly available, mission-critical systems and platforms
- Test-driven development along with unit and integration testing.
Top Skills
Similar Jobs at SoFi
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
